Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
van Aert
1
78 kgSegaert
2
79 kgHerregodts
3
70 kgEvenepoel
4
61 kgVan Wilder
5
64 kgUijtdebroeks
6
68 kgMeurisse
7
71 kgDe Gendt
8
75 kgDe Pestel
9
74 kgJanssens
10
74 kgBerckmoes
11
61 kgVandenbranden
12
74 kgVan Boven
13
68 kgStockman
14
67 kgPaquot
15
70 kgRobeet
16
75 kgMeens
17
62 kg
1
78 kgSegaert
2
79 kgHerregodts
3
70 kgEvenepoel
4
61 kgVan Wilder
5
64 kgUijtdebroeks
6
68 kgMeurisse
7
71 kgDe Gendt
8
75 kgDe Pestel
9
74 kgJanssens
10
74 kgBerckmoes
11
61 kgVandenbranden
12
74 kgVan Boven
13
68 kgStockman
14
67 kgPaquot
15
70 kgRobeet
16
75 kgMeens
17
62 kg
Weight (KG) →
Result →
79
61
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN AERT Wout | 78 |
| 2 | SEGAERT Alec | 79 |
| 3 | HERREGODTS Rune | 70 |
| 4 | EVENEPOEL Remco | 61 |
| 5 | VAN WILDER Ilan | 64 |
| 6 | UIJTDEBROEKS Cian | 68 |
| 7 | MEURISSE Xandro | 71 |
| 8 | DE GENDT Aimé | 75 |
| 9 | DE PESTEL Sander | 74 |
| 10 | JANSSENS Jimmy | 74 |
| 11 | BERCKMOES Jenno | 61 |
| 12 | VANDENBRANDEN Noah | 74 |
| 13 | VAN BOVEN Luca | 68 |
| 14 | STOCKMAN Abram | 67 |
| 15 | PAQUOT Tom | 70 |
| 16 | ROBEET Ludovic | 75 |
| 17 | MEENS Johan | 62 |